fitexprayleigh: Fitting the exponentiated exponentiated Rayleigh distribution
In ERPeq: Probabilistic Hazard Assessment
View source: R/fitexprayleigh.R
fitexprayleigh R Documentation
Fitting the exponentiated exponentiated Rayleigh distribution
Description
Fitting the exponentiated exponentiated Rayleigh distribution
Usage
fitexprayleigh(starts, data)
Arguments
starts
A vector defining the starting values for the Nelder-Mead algorithm.
data
A vector containing the observations
Value
List the estimated parameters of the distribution with standard errors and goodness-of-fit statistics.
Examples
data=rexprayleigh(500,2,3)
fitexprayleigh(starts =c(2,2),data=data)
ERPeq documentation built on July 9, 2023, 5:27 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/fitexprayleigh.R
| fitexprayleigh | R Documentation |
Fitting the exponentiated exponentiated Rayleigh distribution
Description
Fitting the exponentiated exponentiated Rayleigh distribution
Usage
fitexprayleigh(starts, data)
Arguments
starts |
A vector defining the starting values for the Nelder-Mead algorithm. |
data |
A vector containing the observations |
Value
List the estimated parameters of the distribution with standard errors and goodness-of-fit statistics.
Examples
data=rexprayleigh(500,2,3)
fitexprayleigh(starts =c(2,2),data=data)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.